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CTA MCP Server for Claude Code 11 tools — connect in under 2 minutes

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Claude Code is Anthropic's agentic CLI for terminal-first development. Add CTA as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.

Vinkius supports streamable HTTP and SSE.

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The modern way to manage MCP Servers — no config files, no terminal commands. Install CTA and 2,500+ MCP Servers from a single visual interface.

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Classic Setup·bash
# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add cta --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
CTA
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About CTA MCP Server

Connect your CTA API Chicago public transit data platform to any AI agent and take full control of real-time L train and CTA Bus tracking, arrival predictions, service disruption monitoring, and route status awareness through natural conversation.

Claude Code registers CTA as an MCP server in a single terminal command. Once connected, Claude Code discovers all 11 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where CTA data drives decisions without human intervention.

What you can do

  • L Train Arrivals — Get real-time arrival predictions for any CTA L station with train destinations and line colors
  • L Train Positions — Track live positions of all active trains system-wide or filtered by line (Red, Blue, Brown, Green, Orange, Purple, Pink, Yellow)
  • Bus Predictions — Get estimated arrival times for any CTA bus stop with route and destination info
  • Bus Vehicle Tracking — Track real-time GPS positions of all active CTA buses system-wide or by route
  • Bus Routes — List all CTA bus routes across Chicago neighborhoods
  • Bus Stops — Get all stops for any bus route with coordinates and direction information
  • Service Alerts — Monitor active disruptions across L trains and buses with severity and alternatives
  • Route Status — Quick system-wide health check showing which lines are running on-time or delayed
  • Stop Details — Get detailed location info for any CTA bus stop
  • Route Directions — Understand direction patterns (northbound, southbound) for any bus route
  • System Connectivity — Verify API connectivity and synchronize timestamps

The CTA MCP Server exposes 11 tools through the Vinkius. Connect it to Claude Code in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect CTA to Claude Code via MCP

Follow these steps to integrate the CTA MCP Server with Claude Code.

01

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed

02

Add the MCP Server

Run the command above in your terminal

03

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session

04

Start using CTA

Ask Claude: "Using CTA, show me...". 11 tools are ready

Why Use Claude Code with the CTA MCP Server

Claude Code provides unique advantages when paired with CTA through the Model Context Protocol.

01

Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart

02

Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

03

Claude Code runs headlessly, enabling unattended batch processing using CTA tools in cron jobs or deployment scripts

04

Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

CTA + Claude Code Use Cases

Practical scenarios where Claude Code combined with the CTA MCP Server delivers measurable value.

01

CI/CD integration: embed CTA tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping

02

Headless batch processing: schedule Claude Code to query CTA nightly and generate reports without human intervention

03

Shell scripting: pipe CTA outputs into other CLI tools for data transformation, filtering, and aggregation

04

Infrastructure monitoring: run Claude Code in a cron job to query CTA status endpoints and alert on anomalies

CTA MCP Tools for Claude Code (11)

These 11 tools become available when you connect CTA to Claude Code via MCP:

01

get_bus_predictions

Returns predicted arrival times in minutes and seconds, route IDs, destination descriptions, vehicle IDs, block IDs, trip designators, and whether buses are scheduled or real-time tracked. Based on real-time vehicle tracking and schedule adherence. Essential for real-time bus arrival awareness, passenger waiting time estimation, trip timing, and connection coordination. AI agents should use this when users ask "when is the next 22 Clark bus at stop 1234", "show predictions for this stop", or need real-time arrival data for a specific CTA bus stop. Stop IDs can be found using get_bus_stops. Get next bus arrival predictions for a specific CTA bus stop

02

get_bus_routes

Returns route IDs, short names (e.g., "22", "36"), long names (e.g., "22-Clark", "36-Broadway"), route colors, and route directions. Covers local, limited-stop, and express services across all Chicago neighborhoods. Essential for route discovery, service area analysis, transit network understanding, and identifying route IDs for use in stop and prediction queries. AI agents should use this when users ask "list all CTA bus routes", "what routes serve downtown Chicago", or need to identify route IDs for subsequent CTA Bus Tracker queries. List all CTA bus routes in Chicago

03

get_bus_stops

Returns stop IDs (stpid), stop names, geographic coordinates (latitude, longitude), stop sequence order, and direction information (northbound, southbound, eastbound, westbound). Essential for stop discovery, journey planning, accessibility mapping, and identifying stop IDs for use in arrival prediction queries. AI agents should use this when users ask "list all stops on route 22 Clark", "find bus stops along Michigan Avenue", or need to identify stop IDs for use in get_bus_predictions queries. List all bus stops for a specific CTA bus route

04

get_bus_vehicles

Returns vehicle IDs (vid), route IDs, latitude/longitude coordinates, heading direction, speed, trip designators, block IDs, destination descriptions, and pattern names. Can query all buses system-wide or filter by specific route ID for targeted route-level tracking. Essential for real-time bus fleet monitoring, passenger arrival estimation, route-level service awareness, and transit operations management. AI agents should reference this when users ask "where are all the buses on route 22", "track bus positions system-wide", or need real-time vehicle position data for fleet visualization. Get real-time positions of active CTA bus vehicles system-wide or filtered by route

05

get_route_directions

Returns direction IDs (0 or 1), direction names (e.g., "Northbound", "Southbound", "Eastbound", "Westbound"), and associated route metadata. Essential for understanding route patterns, direction identification for stop queries, and trip planning with correct directional awareness. AI agents should use this when users ask "what directions does route 22 serve", "is there a northbound option for route 36", or need directional metadata to understand bus route geometry and plan trips in the correct direction. Get direction information for a specific CTA bus route

06

get_route_status

Returns route IDs, route names, status indicators (GOOD DELAYS, SLOWLY, SEVERE DELAYS, PLANNED WORK, SERVICE DISRUPTION, SUSPENDED), and status descriptions. Essential for quick system-wide health checks, commute planning, and understanding overall CTA reliability at a glance. AI agents should reference this when users ask "how is CTA running today", "what lines are delayed", or need a quick overview of system-wide service status before detailed trip planning. Get current status of all CTA train lines and bus routes

07

get_service_alerts

Returns alert descriptions, affected routes and stations, severity levels, cause types (maintenance, incident, weather, special events, construction), start and end timestamps, detour information, and alternative service recommendations. Can query all alerts system-wide or filter by specific route. Essential for service disruption awareness, alternative route planning, passenger communication, and understanding system reliability. AI agents should use this when users ask "are there any delays on the Red Line", "is CTA running normally today", or need to check service reliability before planning CTA journeys. Get current service alerts and disruptions across the CTA system

08

get_stop_details

Returns stop ID, stop name, geographic coordinates (latitude, longitude), and any associated route information. Essential for stop identification, accessibility planning, transit network analysis, and passenger information. AI agents should use this when users ask "tell me about stop 1234", "where is this bus stop located", or need detailed stop metadata to contextualize transit queries and trip planning. Get detailed information about a specific CTA bus stop

09

get_system_time

Returns the official server timestamp in standard format. Useful for synchronizing local clocks with the CTA system, verifying API connectivity, testing authentication, and timestamp alignment for real-time data correlation. AI agents should use this as a connectivity check before making more complex queries, or when users need to verify API responsiveness and authentication validity. Get the current CTA Bus Tracker system timestamp

10

get_train_arrivals

Returns predicted arrival times in minutes, train run numbers, destination stations, line colors (Red, Blue, Brown, Green, Orange, Purple, Pink, Yellow), operating status (on-time, delayed, scheduled, unscheduled, approaching, boarding, departing), and whether the train is approaching or at the station. Essential for real-time L tracking, passenger waiting time estimation, trip timing, and connection coordination. AI agents should use this when users ask "when is the next Red Line train at Clark/Lake", "show upcoming trains at this station", or need real-time arrival predictions for a specific CTA L station. MapIds are 5-digit station identifiers (e.g., 40360 for Clark/Lake, 40900 for Jackson). Station IDs can be found in the CTA GTFS static data feed. Get real-time train arrival predictions for a specific L station

11

get_train_positions

Returns train run numbers, line colors, next station IDs, service types (train, 5-car, 8-car), heading directions (North, South, East, West, Northeast, Northwest, Southeast, Southwest), scheduled vs. real-time status, and delay indicators. Can query all trains system-wide or filter by specific line (Red, Blue, Brown, Green, Orange, Purple, Pink, Yellow). Essential for real-time train tracking, network-wide service awareness, fleet monitoring, and understanding train distribution across the L system. AI agents should reference this when users ask "where are all the Red Line trains", "show train positions on the Blue Line", or need to visualize train locations for operational monitoring or passenger information. Get real-time positions of all active CTA trains system-wide or filtered by line

Example Prompts for CTA in Claude Code

Ready-to-use prompts you can give your Claude Code agent to start working with CTA immediately.

01

"When is the next Red Line train arriving at Clark/Lake?"

02

"Show me all CTA bus stops on route 22 Clark."

03

"How is CTA running today? Any delays on the L or bus routes?"

Troubleshooting CTA MCP Server with Claude Code

Common issues when connecting CTA to Claude Code through the Vinkius, and how to resolve them.

01

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code
02

Connection timeout

Check your internet connection and verify the Edge URL is reachable

CTA + Claude Code FAQ

Common questions about integrating CTA MCP Server with Claude Code.

01

How do I add an MCP server to Claude Code?

Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.
02

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.
03

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

Connect CTA to Claude Code

Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.